Conner O'Neal — OGILVIE

Conner O'NealC Ontario Tower Buzzers

Age 23 L/R 6'3" / 219 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION298 act + 10 ros · stats below = ROS only

showingROS

wRC+†69

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP276

ISO123

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$19M ctrl surplus

Tools · ContractCON 25 / POW 49

Toolsscout grade

CONTACT25

scouting grade only

POWER49

scouting grade only

EYE66

scouting grade only

SPEED48

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Arb-1	$0.8M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-2	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$2M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	23	A MLE	LAD	—	298	258	44	10	0	7	34	130	5	1	1	171	279	291	570	120	303	44	11	258	61	-14	-0	+0	+5	+6	-0.2
▸ 2026 season
YTD	23	A RAW	LAD	—	298	244	58	14	0	9	48	97	5	1	1	238	374	406	779	168	353	33	16	354	61	—	—	—	—	—	—
ROS	23	A MLE	LAD	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		280	40	10	271	69	-0	+0	+0	+0	+0	0.0
TOT	23	A MLE	LAD	—	308	267	45	10	0	7	35	134	5	1	1	169	277	285	562	116	299	44	11	258	61	-14	-0	+0	+6	+7	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	LAD	38%	454	399	76	15	1	11	47	158	5	6	2	190	284	316	600	125	281	35	10	278	74	-14	+0	+0	+8	+10	0.4
2028	25	MLB MLE	LAD	55%	490	431	86	17	2	13	50	165	6	7	3	200	292	339	630	139	282	34	10	283	77	-13	+0	+0	+9	+11	0.6
2029	26	MLB MLE	LAD	64%	520	456	92	18	2	14	53	172	6	9	3	202	293	342	635	140	282	33	10	285	79	-13	+1	+0	+9	+11	0.8
2030	27	MLB MLE	LAD	66%	520	455	92	18	2	14	54	171	6	9	3	202	295	343	638	141	282	33	10	286	80	-12	+1	+0	+9	+11	0.9
2031	28	MLB MLE	LAD	67%	520	455	92	18	2	14	54	172	6	9	3	202	295	343	638	141	282	33	10	285	79	-13	+1	-1	+9	+11	0.8
2032	29	MLB MLE	LAD	66%	520	455	90	17	2	13	54	173	6	9	3	198	291	330	621	132	281	33	10	283	78	-14	+1	-1	+9	+11	0.6
2033	30	MLB MLE	LAD	65%	520	455	88	17	1	13	54	174	6	8	3	193	287	321	608	127	279	33	10	281	76	-15	+0	-2	+9	+11	0.4
2034	31	MLB MLE	LAD	65%	504	440	84	16	1	12	53	171	6	8	3	191	287	314	600	123	276	34	11	277	73	-16	+0	-3	+9	+11	0.2
2035	32	MLB MLE	LAD	65%	489	430	80	15	1	11	51	167	5	7	3	186	280	302	582	116	273	34	10	271	70	-18	+0	-4	+9	+11	-0.2
2027	24	MLB CTX	LAD	38%	171	149	28	6	0	4	18	59	2	2	1	188	284	309	593	121	277	35	11	269	74	-5	+0	+0	+3	+4	0.1
2028	25	MLB CTX	LAD	55%	271	238	47	9	1	7	28	91	3	4	1	197	290	332	622	134	278	34	10	274	77	-7	+0	+0	+5	+6	0.4
2029	26	MLB CTX	LAD	64%	331	290	58	11	1	9	34	110	4	5	2	200	293	338	631	138	278	33	10	276	79	-8	+0	+0	+6	+7	0.5
2030	27	MLB CTX	LAD	66%	342	300	59	11	1	9	35	113	4	6	2	197	289	330	619	133	278	33	10	277	80	-8	+0	+0	+6	+7	0.6
2031	28	MLB CTX	LAD	67%	347	304	61	12	1	10	36	115	4	6	2	201	294	345	639	145	278	33	10	276	79	-9	+0	-0	+6	+8	0.5
2032	29	MLB CTX	LAD	66%	342	299	59	11	1	9	36	114	4	6	2	197	292	331	623	134	277	33	11	275	78	-9	+0	-1	+6	+7	0.4
2033	30	MLB CTX	LAD	65%	339	297	58	11	1	9	35	114	4	5	2	195	289	330	619	135	275	34	10	272	76	-10	+0	-1	+6	+7	0.3
2034	31	MLB CTX	LAD	65%	326	285	54	10	1	8	34	110	4	5	2	189	285	316	601	126	273	34	10	268	73	-10	+0	-2	+6	+7	0.1
2035	32	MLB CTX	LAD	65%	316	277	53	10	1	8	33	108	3	5	2	191	284	321	606	130	269	34	10	263	70	-11	+0	-2	+6	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2785	2439	477	91	8	73	289	934	32	44	16	196	289	329	618	134	279	34	10	272	76	-78	+2	-7	+50	+60	2.8
/ 162G	—	A+C		—	650	569	111	21	2	17	67	218	7	10	4	195	287	329	616	134	278	34	10	272	76	-18	+1	-2	+12	+14	0.7
Career	—	MLE		—	4547	3985	781	151	14	115	471	1527	52	72	26	196	289	327	617	131	281	34	10	281	76	-128	+4	-10	+81	+99	4.6
/ 162G	—	MLE		—	650	570	112	22	2	16	67	218	7	10	4	196	288	326	615	130	283	34	10	281	76	-18	+1	-2	+12	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Derek Norrislast yr '17 career totals — 6 seasons, 2,195 PA	3.3	2,195	63	26	230	304	380	+39	+50	13.7	13.7
/162	664	19	8	+11.9	+15.1	4.1	pk7: 14
#3Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#4Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.7	3,105	78	50	197	287	329	+55	+24	5.4	4.9
/162	664	17	11	+11.9	+5.1	1.1	pk7: 5
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Conner O'Neal (OGILVIE)	23	20→25	44→49	43→48	66	183/280/304	121	280	7	3	36%	11%	69	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Darrien Miller 2023 · A	22	38→41	47→45	50→45	48	196/307/325	129	265	16	7	30%	10%	84	+0.2	187/296/284	97	258	8	5	29%	10%	71	-0.8	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Daniel Vellojin 2023 · AA	23	39	45	42→45	51	196/292/318	122	278	13	6	32%	12%	76	-0.4	179/261/272	93	255	9	6	31%	9%	53	-2.1	154/237/226	72	219	7	4	31%	9%	32	-1.3
✕Anthony Seigler 2023 · A	24	41→39	42→45	46→55	56	196/304/308	112	272	9	11	28%	13%	78	-0.3	197/295/308	111	251	10	20	24%	12%	75	-0.5	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Carlos Soto 2022 · A	23	40	45	45→30	48	200/279/321	122	272	12	3	30%	9%	71	-0.8	196/272/310	114	293	10	5	34%	9%	66	-1.1	142/232/239	97	223	7	0	37%	10%	34	-1.0
✕Zack Short 2018 · A	23	42→39	45→50	48→45	53	208/299/335	127	266	12	11	25%	10%	82	+0.0	198/288/331	133	281	13	8	31%	10%	77	-0.3	175/276/313	138	241	16	6	32%	11%	66	-0.7
✕Jacob Wetzel 2023 · A	23	39→34	44→45	49→50	45	195/276/305	110	270	12	10	31%	8%	67	-1.1	191/265/303	112	284	10	13	34%	8%	61	-1.5	178/252/295	117	273	8	16	35%	8%	53	-1.1
✕Chris Williams 2021 · A	24	36→32	50→55	49→40	48	188/277/339	151	269	18	5	35%	10%	75	-0.5	188/268/335	147	296	18	4	39%	9%	71	-0.8	176/260/345	169	249	23	4	38%	9%	68	-0.7
✕Reese Havens 2010 · A	23	42→40	48→45	44→40	49	215/301/355	139	265	15	5	24%	9%	87	+0.4	222/296/361	139	301	15	4	30%	8%	86	+0.3	209/286/339	130	301	15	2	33%	9%	75	-0.2
✕Sean Coughlin 2009 · A	24	39→37	47→50	44→30	47	200/271/332	132	250	14	2	26%	8%	71	-0.8	219/286/342	123	266	13	3	22%	8%	78	-0.3	220/290/336	116	260	13	1	20%	8%	77	-0.2
✕César Salazar 2019 · A	23	43→41	48→45	49→45	39	217/279/354	138	308	17	8	34%	6%	79	-0.2	211/267/319	108	265	11	8	24%	5%	66	-1.1	203/308/311	108	241	12	6	20%	9%	79	-0.1
✕Jose Brizuela 2016 · A	23	42→39	44→50	50→45	45	207/273/328	121	277	11	7	28%	8%	70	-0.8	210/268/335	125	296	14	5	32%	7%	70	-0.9	191/245/320	130	262	17	1	34%	6%	56	-0.8
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	274	17	4	28%	9%	84	+0.1	201/278/335	134	291	14	4	33%	9%	74	-0.6	169/258/297	128	251	15	0	37%	11%	56	-1.3
✕Sicnarf Loopstok 2016 · A	23	40→37	49→50	53→50	39	207/268/353	146	287	16	9	33%	6%	74	-0.5	208/273/341	133	295	14	10	33%	6%	74	-0.6	202/274/346	144	284	16	9	33%	6%	75	-0.3
✕Isan Díaz 2018 · A	22	39→41	46→55	45	42	198/268/329	131	290	14	8	35%	8%	69	-0.9	208/276/351	143	291	16	8	32%	8%	77	-0.3	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Austin Wells 2022 · A	23	43	48→55	56→50	47	211/301/358	147	306	15	12	34%	10%	88	+0.4	216/294/377	161	276	19	10	28%	9%	90	+0.6	211/292/376	165	256	20	8	25%	9%	87	+0.3
✕Matt Wallach 2009 · A	23	40	48→45	46→40	39	206/262/350	144	278	15	3	31%	6%	72	-0.7	212/270/323	111	262	11	3	23%	6%	68	-1.0	215/288/326	111	247	13	3	18%	7%	76	-0.2
✕Thomas Dillard 2021 · A	23	45→38	44→45	52→50	51	215/305/333	118	304	12	10	31%	11%	84	+0.1	196/283/318	122	326	13	9	40%	10%	72	-0.7	182/275/301	120	302	13	9	40%	10%	64	-1.1
✕Andrew Susac 2013 · A	23	42→38	43→50	45→30	45	204/279/315	111	288	11	4	31%	9%	70	-0.9	217/292/358	141	289	16	3	29%	9%	84	+0.2	217/296/371	154	282	18	1	28%	9%	86	+0.1

Career Stats + Projections

Career Comps

Career Path Comps